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Study Of Contaminated And Mixed Objects Snow Reflectance In Indian Himalaya Using Spectroradiometer

机译:分光光度计研究印度喜马拉雅山受污染和混合物体的雪反射率

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摘要

To understand the effect of contamination and mixed objects on snow reflectance, field experiments were carried out in Indian Himalaya during the winters of 2004-2005 and 2005-2006. The observations suggest, as the amount of contamination increases, the peak of snow reflectance in the visible region shifts toward the higher wavelength range. For snow and soil cover mix, as the proportion of soil cover increases, reflectance increases in SWIR region. For snow and vegetation mix areas, a red edge can be observed if vegetation cover is more than 25%. A significant change in the reflectance is observed in the visible region for snow thickness below 5 cm. Normalized Difference Snow Index (NDSI) and S3 based snow indexes can map soil and ash contaminated snow. In snow-soil mixing (patchy snow), NDSI underestimates the snow cover area and S3 index overestimates. Both the snow indexes can map the snow under vegetation and mixed snow-soil-vegetation areas. Thin snow cover areas can also be mapped using both the indexes. This study will be helpful in developing new indexes and selection of threshold value for snow cover mapping.
机译:为了了解污染和混合物体对雪反射率的影响,在2004-2005年和2005-2006年冬季在印度喜马拉雅山进行了野外试验。这些观察结果表明,随着污染量的增加,可见区域中雪反射的峰值会移向更高的波长范围。对于积雪和土壤覆盖物混合物,随着土壤覆盖物比例的增加,SWIR区域的反射率也会增加。对于雪和植被混合区,如果植被覆盖率超过25%,则可以观察到红色边缘。对于5 cm以下的积雪厚度,在可见光区域观察到反射率的显着变化。归一化差异雪指数(NDSI)和基于S3的雪指数可以绘制受土壤和灰分污染的雪。在雪土混合(小片积雪)中,NDSI会低估积雪面积,而S3指数则会高估。两种降雪指数都可以绘制植被和混合的雪土植被区下的雪图。薄雪覆盖区域也可以使用两个索引进行映射。这项研究将有助于开发新的指标和选择积雪制图的阈值。

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